\chapter{Gabor Boosting Binary Classification}
\label{ch:bin}

\section{Gabor Wavelet and AdaBoosting on Face Verification}
\label{sec:faceveri}
\subsection{Gabor Wavelet}
\label{sec:faceveri:gabor}
\subsection{Feature Selection}
\label{sec:faceveri:selection}
\subsection{AdaBoosting}
\label{sec:faceveri:adaboosting}
\subsection{Weak Learner: Fisher Linear Discriminant}
\label{sec:faceveri:fld}
\subsection{Reduce Computational Time}
\label{sec:faceveri:time}
\subsection{XM2VTS Face Database}
\label{sec:faceveri:xm2vts}
\subsection{Feature Selection Results}
\label{sec:faceveri:result1}
\subsection{SVM Classification Results}
\label{sec:faceveri:result2}

\section{Binary Gabor Boosting Face Recognition}
\subsection{Gabor Wavelet}
\paragraph{What is Gabor Wavelets}
\paragraph{History of Gabor Wavelets}
\paragraph{Function of Kernel}
\paragraph{Becoming Wavelets}
\paragraph{Gabor Wavelet Feature}

\subsection{Reduce number of Gabor Features}
\paragraph{The Reason Why Features can be reduced}

\subsection{Feature Selection}
\paragraph{Gabor Features too many}


\subsection{AdaBoosting}
\subsection{Ostu like Weak Learner}
\subsection{AdaBoosting: Constructing a strong classifier}
\subsection{Classification on XM2VTS}
\subsubsection{Normal Results}
\subsubsection{Cross Validation}
\subsection{Classification on FERET}
\subsubsection{FERET Database}
\section{Summary}